Projection-free Online Learning over Strongly Convex Sets
Fuente:
arXiv
Saved in:
| Main Authors: | Wan, Yuanyu, Zhang, Lijun |
|---|---|
| Format: | Preprint |
| Published: |
2020
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Revisiting Multi-Agent Asynchronous Online Optimization with Delays: the Strongly Convex Case
by: Bao, Lingchan, et al.
Published: (2025)
by: Bao, Lingchan, et al.
Published: (2025)
Universal Online Convex Optimization with $1$ Projection per Round
by: Yang, Wenhao, et al.
Published: (2024)
by: Yang, Wenhao, et al.
Published: (2024)
Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization
by: Jiang, Wei, et al.
Published: (2024)
by: Jiang, Wei, et al.
Published: (2024)
Universal Online Convex Optimization Meets Second-order Bounds
by: Zhang, Lijun, et al.
Published: (2021)
by: Zhang, Lijun, et al.
Published: (2021)
Sign-Based Optimizers Are Effective Under Heavy-Tailed Noise
by: Yu, Dingzhi, et al.
Published: (2026)
by: Yu, Dingzhi, et al.
Published: (2026)
Upper-Linearizability of Online Non-Monotone DR-Submodular Maximization over Down-Closed Convex Sets
by: Lu, Yiyang, et al.
Published: (2026)
by: Lu, Yiyang, et al.
Published: (2026)
Projection-Free Online Convex Optimization with Time-Varying Constraints
by: Garber, Dan, et al.
Published: (2024)
by: Garber, Dan, et al.
Published: (2024)
Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization
by: Hihat, Massil, et al.
Published: (2023)
by: Hihat, Massil, et al.
Published: (2023)
A Finite-Time Analysis of TD Learning with Linear Function Approximation without Projections or Strong Convexity
by: Lee, Wei-Cheng, et al.
Published: (2025)
by: Lee, Wei-Cheng, et al.
Published: (2025)
Unconstrained Robust Online Convex Optimization
by: Zhang, Jiujia, et al.
Published: (2025)
by: Zhang, Jiujia, et al.
Published: (2025)
Convergence Analysis of the Lion Optimizer in Centralized and Distributed Settings
by: Jiang, Wei, et al.
Published: (2025)
by: Jiang, Wei, et al.
Published: (2025)
Learning-Augmented Decentralized Online Convex Optimization in Networks
by: Li, Pengfei, et al.
Published: (2023)
by: Li, Pengfei, et al.
Published: (2023)
Online (Non-)Convex Learning via Tempered Optimism
by: Haddouche, Maxime, et al.
Published: (2023)
by: Haddouche, Maxime, et al.
Published: (2023)
Gauges and Accelerated Optimization over Smooth and/or Strongly Convex Sets
by: Liu, Ning, et al.
Published: (2023)
by: Liu, Ning, et al.
Published: (2023)
Online Convex Optimization with Unbounded Memory
by: Kumar, Raunak, et al.
Published: (2022)
by: Kumar, Raunak, et al.
Published: (2022)
Online Learning for Approximately-Convex Functions with Long-term Adversarial Constraints
by: Sarkar, Dhruv, et al.
Published: (2025)
by: Sarkar, Dhruv, et al.
Published: (2025)
BAGEL: Projection-Free Algorithm for Adversarially Constrained Online Convex Optimization
by: Lu, Yiyang, et al.
Published: (2025)
by: Lu, Yiyang, et al.
Published: (2025)
Convex Hulls of Reachable Sets
by: Lew, Thomas, et al.
Published: (2023)
by: Lew, Thomas, et al.
Published: (2023)
Online Newton Method for Bandit Convex Optimisation
by: Fokkema, Hidde, et al.
Published: (2024)
by: Fokkema, Hidde, et al.
Published: (2024)
Online Convex Optimization with Memory and Limited Predictions
by: Wang, Zhengmiao, et al.
Published: (2024)
by: Wang, Zhengmiao, et al.
Published: (2024)
Online Convex Optimization with a Separation Oracle
by: Mhammedi, Zakaria
Published: (2024)
by: Mhammedi, Zakaria
Published: (2024)
Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees
by: de Vazelhes, William, et al.
Published: (2025)
by: de Vazelhes, William, et al.
Published: (2025)
Some Primal-Dual Theory for Subgradient Methods for Strongly Convex Optimization
by: Grimmer, Benjamin, et al.
Published: (2023)
by: Grimmer, Benjamin, et al.
Published: (2023)
Constrained Online Convex Optimization with Polyak Feasibility Steps
by: Hutchinson, Spencer, et al.
Published: (2025)
by: Hutchinson, Spencer, et al.
Published: (2025)
Optimal Algorithms for Online Convex Optimization with Adversarial Constraints
by: Sinha, Abhishek, et al.
Published: (2023)
by: Sinha, Abhishek, et al.
Published: (2023)
Online Non-Stationary Stochastic Quasar-Convex Optimization
by: Pun, Yuen-Man, et al.
Published: (2024)
by: Pun, Yuen-Man, et al.
Published: (2024)
Safe Online Convex Optimization with Multi-Point Feedback
by: Hutchinson, Spencer, et al.
Published: (2024)
by: Hutchinson, Spencer, et al.
Published: (2024)
Small Gradient Norm Regret for Online Convex Optimization
by: Gao, Wenzhi, et al.
Published: (2026)
by: Gao, Wenzhi, et al.
Published: (2026)
Distributed Online Convex Optimization with Nonseparable Costs and Constraints
by: Pan, Zhaoye, et al.
Published: (2026)
by: Pan, Zhaoye, et al.
Published: (2026)
Tight Bounds for Online Convex Optimization with Adversarial Constraints
by: Sinha, Abhishek, et al.
Published: (2024)
by: Sinha, Abhishek, et al.
Published: (2024)
An Optimistic Algorithm for Online Convex Optimization with Adversarial Constraints
by: Lekeufack, Jordan, et al.
Published: (2024)
by: Lekeufack, Jordan, et al.
Published: (2024)
Optimistic Safety for Online Convex Optimization with Unknown Linear Constraints
by: Hutchinson, Spencer, et al.
Published: (2024)
by: Hutchinson, Spencer, et al.
Published: (2024)
Accelerated Rates between Stochastic and Adversarial Online Convex Optimization
by: Sachs, Sarah, et al.
Published: (2023)
by: Sachs, Sarah, et al.
Published: (2023)
A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise
by: Zhan, Jingxin, et al.
Published: (2025)
by: Zhan, Jingxin, et al.
Published: (2025)
Non-Convex Robust Hypothesis Testing using Sinkhorn Uncertainty Sets
by: Wang, Jie, et al.
Published: (2024)
by: Wang, Jie, et al.
Published: (2024)
Distributed Online Private Learning of Convex Nondecomposable Objectives
by: Cheng, Huqiang, et al.
Published: (2022)
by: Cheng, Huqiang, et al.
Published: (2022)
Lower Complexity Bounds for Nonconvex-Strongly-Convex Bilevel Optimization with First-Order Oracles
by: Ji, Kaiyi
Published: (2025)
by: Ji, Kaiyi
Published: (2025)
A Modular Algorithm for Non-Stationary Online Convex-Concave Optimization
by: Meng, Qing-xin, et al.
Published: (2025)
by: Meng, Qing-xin, et al.
Published: (2025)
A Unified Framework for Analyzing Meta-algorithms in Online Convex Optimization
by: Pedramfar, Mohammad, et al.
Published: (2024)
by: Pedramfar, Mohammad, et al.
Published: (2024)
Adaptivity and Universality: Problem-dependent Universal Regret for Online Convex Optimization
by: Zhao, Peng, et al.
Published: (2025)
by: Zhao, Peng, et al.
Published: (2025)
Similar Items
-
Revisiting Multi-Agent Asynchronous Online Optimization with Delays: the Strongly Convex Case
by: Bao, Lingchan, et al.
Published: (2025) -
Universal Online Convex Optimization with $1$ Projection per Round
by: Yang, Wenhao, et al.
Published: (2024) -
Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization
by: Jiang, Wei, et al.
Published: (2024) -
Universal Online Convex Optimization Meets Second-order Bounds
by: Zhang, Lijun, et al.
Published: (2021) -
Sign-Based Optimizers Are Effective Under Heavy-Tailed Noise
by: Yu, Dingzhi, et al.
Published: (2026)